AI security tools that can only detect threats in English offer limited protection. Here’s how Tenable trained our threat detectors to process nine additional languages and understand thousands more, without the need for a translation model, which increases costs and slows down processing. Key takeaways Tenable One AI Exposure’s detectors, covering AI threats, harmful content, and other policy risks, were originally English-centric. To assess threats written in other languages, our product…
Community-built AI agents, skills, and MCP servers are landing in SOC workflows fast. Here’s what the Exchange Inspector tests before a listing earns its vetted tag on the CyberAgents Exchange. Three tools have already passed. Key takeaways Every Inspector-vetted listing clears three gates: an automated check, a frontier model assessment, and human verification. Tenable uses Tenable One AI Exposure to screen for prompt injection and exposed secrets, and OpenAI GPT Cyber models to assess the…
Learn why Tenable treats agentic LLMs as untrusted insiders, and how we’ve made sure you can control and monitor the AI agents making changes in your production security environmentKey takeawaysAI models can quickly understand data, but not your business. While modern AI models are great at reasoning, they don’t automatically understand your unique environment or who is allowed to do what. The “harness” is the custom-built layer that translates AI intelligence into safe, controlled actions…
Open-source registries for AI agents are only effective when they include a rigorous, transparent security review process for community submissions. That’s why for its new CyberAgents Exchange registry, Tenable paired its exposure management expertise with OpenAI GPT Cyber models to create the CyberAgents Exchange AI Inspector.Key takeawaysThe Exchange Inspector combines Tenable’s exposure detection with OpenAI’s GPT Cyber models and with human oversight to rigorously vet submissions made to…
Tenable is bringing Anthropic’s Claude Mythos 5 into our enterprise security offerings. Adding frontier adversarial reasoning to the Tenable One Exposure Management Platform will help customers better anticipate how attackers could breach their environments and stay ahead of AI-fueled risk. Tenable One Adversary View, the first innovation planned from this work, will debut in the coming weeks.Key takeawaysClaude Mythos 5 is coming to Tenable One. In addition to using Claude Mythos 5 for…
Discover how Tenable’s shift to an AI-driven exposure management program helped Tenable’s CSO, Robert Huber, overcome tool sprawl, unify data silos, mitigate the risk of rapid AI adoption, and shift from presenting granular, technical metrics to communicating business risk that the C-suite and the board can understand.Key takeawaysSecurity tool sprawl and data silos make it difficult for CISOs to holistically and accurately assess their organizations’ cyber risk.An exposure management program…
Agentic AI armed attackers first, but it also put real building power in defenders’ hands. Here’s what security practitioners built in two days at Black Hat USA 2026, and how the CyberAgents Exchange keeps that work compounding long after the event.Key takeawaysBuilding defensive cybersecurity tooling no longer requires a developer. Agentic tooling drove the cost of finding and exploiting a vulnerability down to 1990s levels; it also removed the engineering barrier that kept defenders from…
Discover how Tenable Hexa AI closes the gap between exposure management and endpoint patching using intent-driven routines, smart guardrails, and human approval.Key takeawaysThe problem: A slow handoff between security workflows creates a days-long remediation gap. The solution: Tenable Hexa AI bridges this gap using intent-driven Routines that automate scoping, deployment, and verification across integrated platforms like Jamf. Safety and control: Autonomy is governed by the harness built into…